Introduction at Nigerian Turkish Nile University | Flashcards & Summaries

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Lernmaterialien für Introduction an der Nigerian Turkish Nile University

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types of categorical variables 

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  • nominal and 
  • ordinal 
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Types of statistics 
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  • Deductive or descriptive statistics 
  • Inductive or inferential statistics 
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Variable language 

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this is an event, occurence or phenomenon which tends to change over a given period of time space or unit. 

A variable is a recorded peice of information or a characteristic about a person, unit or case in our study. They are some characteristic info that is recorded for each person but it varies or changes from person to person. For example; we might record the age of everyone in our sample and for everyone we're recording the age but the age is going to change from person to person. Examples of variables include age, weight, hair color, income, #births in a day, size of coffee, etc. 

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Mathematical adjectives 
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The choice of adjectives in mathematics will employ the use of small letter cases in representing the adjective of mathematics. For example, if x represents the total number of students in a class, then x1, x2, x3..., xn will practically represent x1 as the first student, x2 as the second student, and so on. This means the above denotes mathematical adjectives. 
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Parameter language 
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A phenomena or characteristics of population that is measurable 
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types of data

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  1. primary data
  2. secondary data 
  3. panel data/ pooled data
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Sample 
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This is a small part of a population that is used for study
a subset drawn from the entire population you're interested in studying. So For example, the subset is the 200 households selected out of all the households in a city.
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Types of graphical presentation 
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  • Bar chart 
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Frequency distribution 
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A method of presenting data or large information into categories or classes and determine the number of items in each category or class. It enables us to have a quick understanding of the general characteristics of the data so presented. 
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Discreet variable 
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Integral, whole number. It doesn't change 
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Variable language types 
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  • Discreet variable 
  • Continuous variable
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Sources of primary data 
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  • Sales statistics 
  • Supply statistics 
  • Production statistics 
  • Financial (cost) statistics 
  • Personnel statistics 
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Beispielhafte Karteikarten für deinen Introduction Kurs an der Nigerian Turkish Nile University - von Kommilitonen auf StudySmarter erstellt!

Q:

types of categorical variables 

A:
  • nominal and 
  • ordinal 
Q:
Types of statistics 
A:
  • Deductive or descriptive statistics 
  • Inductive or inferential statistics 
Q:

Variable language 

A:

this is an event, occurence or phenomenon which tends to change over a given period of time space or unit. 

A variable is a recorded peice of information or a characteristic about a person, unit or case in our study. They are some characteristic info that is recorded for each person but it varies or changes from person to person. For example; we might record the age of everyone in our sample and for everyone we're recording the age but the age is going to change from person to person. Examples of variables include age, weight, hair color, income, #births in a day, size of coffee, etc. 

Q:
Mathematical adjectives 
A:
The choice of adjectives in mathematics will employ the use of small letter cases in representing the adjective of mathematics. For example, if x represents the total number of students in a class, then x1, x2, x3..., xn will practically represent x1 as the first student, x2 as the second student, and so on. This means the above denotes mathematical adjectives. 
Q:
Parameter language 
A:
A phenomena or characteristics of population that is measurable 
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Q:

types of data

A:
  1. primary data
  2. secondary data 
  3. panel data/ pooled data
Q:
Sample 
A:
This is a small part of a population that is used for study
a subset drawn from the entire population you're interested in studying. So For example, the subset is the 200 households selected out of all the households in a city.
Q:
Types of graphical presentation 
A:
  • Bar chart 
Q:
Frequency distribution 
A:
A method of presenting data or large information into categories or classes and determine the number of items in each category or class. It enables us to have a quick understanding of the general characteristics of the data so presented. 
Q:
Discreet variable 
A:
Integral, whole number. It doesn't change 
Q:
Variable language types 
A:
  • Discreet variable 
  • Continuous variable
Q:
Sources of primary data 
A:
  • Sales statistics 
  • Supply statistics 
  • Production statistics 
  • Financial (cost) statistics 
  • Personnel statistics 
Introduction

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